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dc.contributor.authorAhmed, Javed
dc.contributor.authorVillata, Serena
dc.contributor.authorGovernatori, Guido
dc.date.accessioned2021-07-11T05:01:40Z
dc.date.available2021-07-11T05:01:40Z
dc.date.issued2019
dc.identifier.issn0951-5666en_US
dc.identifier.doi10.1007/s00146-017-0789-1en_US
dc.identifier.urihttp://hdl.handle.net/10072/405880
dc.description.abstractOnline social networks (OSNs) captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study that measure users’ attitude towards interpersonal privacy concerns in OSNs. The results demonstrated a serious mismatch between privacy concerns of users and their information sharing behavior. In addition, it indicated that strangers are part of user social circles, this makes privacy protection more complicated, and introduce an insider threat, whereas all existing privacy tools allow users to manage the outsider threat. Information and friend segregation strategies are suggested on the basis of user information disclosure and interaction pattern. We conclude that sensitivity of information and frequency of interaction, both, play a vital role in information and friend segregation.en_US
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.publisherSpringeren_US
dc.relation.ispartofpagefrom753en_US
dc.relation.ispartofpageto766en_US
dc.relation.ispartofissue4en_US
dc.relation.ispartofjournalAI & Societyen_US
dc.relation.ispartofvolume34en_US
dc.subject.fieldofresearchArtificial Intelligence and Image Processingen_US
dc.subject.fieldofresearchCognitive Sciencesen_US
dc.subject.fieldofresearchPhilosophyen_US
dc.subject.fieldofresearchcode0801en_US
dc.subject.fieldofresearchcode1702en_US
dc.subject.fieldofresearchcode2203en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsTechnologyen_US
dc.subject.keywordsComputer Science, Artificial Intelligenceen_US
dc.subject.keywordsComputer Scienceen_US
dc.subject.keywordsOnline social networksen_US
dc.titleInformation and friend segregation for online social networks: A user studyen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationAhmed, J; Villata, S; Governatori, G, Information and friend segregation for online social networks: A user study, AI & Society, 2019, 34 (4), pp. 753-766en_US
dc.date.updated2021-07-11T04:58:27Z
gro.hasfulltextNo Full Text
gro.griffith.authorGovernatori, Guido


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